Título:
|
Towards estimating cardiac motion using low-rank representation and topology preservation for ultrafast ultrasound data
|
Autor/a:
|
Avilés Rivero, Angélica; Widlak, Thomas; Casals Gelpi, Alicia; Ammari, Habib
|
Otros autores:
|
Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial; Universitat Politècnica de Catalunya. GRINS - Grup de Recerca en Robòtica Intel·ligent i Sistemes |
Abstract:
|
Estimation of the cardiac motion is very important in order to detect heart diseases. This work presents a cardiac motion estimation approach using ultrafast ultrasound data. We optimize a variational framework which has the benefits of combining low-rank data representation with topology preservation. We show through the analysis of experimental results that this combination offers a radical reduction in computational time and noise while ensuring preservation of the anatomical
structure of the heart under complex deformations. Although in this work we use the heart as a study case, our solution is promising to analyze other organs experiencing motion. |
Abstract:
|
Peer Reviewed |
Materia(s):
|
-Àrees temàtiques de la UPC::Enginyeria biomèdica -Cardiovascular system -Imaging systems in medicine -Motion estimation -Medical imaging -Surgical robotics -Sistema cardiovascular -Imatges mèdiques |
Derechos:
|
|
Tipo de documento:
|
Artículo - Versión publicada Objeto de conferencia |
Editor:
|
Institute of Electrical and Electronics Engineers (IEEE)
|
Compartir:
|
|